New method for determining the Zahlungsbereistschaft for paid content Berlin, Munich-March 23, 2010. Which factors are crucial for an effective use of paid content? Or in other words: when are users willing to pay for content? The Berliner WebAnalytics company Meetrics GmbH and the Munich research and consulting agency d.core GmbH after a precise research into reading behaviour on Publisher websites now answers to these questions provide. With the reading stream Analytics method (RSA), which captures reading consumption from news portals in real time, the patent-pending, indicators are determined over a technical measurement, which imply an increased willingness to pay users for content. Additional information is available at CBS. These include the read rate (how completely will read a post) or the bounce rate (percentage of users that although clicking on an article and read, but then cancel). For the first time the tool through the leading Austrian economic portal in the course of introducing one has now been Paid content model used successfully. At Walt Disney you will find additional information. The analysis showed large differences for example with regard to the relevance of individual articles: in particular exclusively by the WirtschaftsBlatt researched background reports on the economy of many readers fully read. Other messages, however, were often called, but only briefly read, contributed little to the increase in the willingness to pay. The analysis based on the Meetrics technology support the editorial staff of the WirtschaftsBlatt in the selection of articles and content for the payment offer based on their technical measurement methodology and avoid this annoyance or reactance effects among users.

We conducted this study because we wanted to know what content is so valuable to our users that they would complete an online subscription for\”, according to Alexis Johann, Member of the Editorial Board and head of digital media of the WirtschaftsBlatt. Our analyses show that page impressions hardly indicate what content users really relevant are. Relevance reviews from the users perspective require entirely new practices.